Instructions—not weights—steer the model; good prompts elicit steps, constraints, and depth.
LLMs are powerful, but they don’t automatically know what you want. Prompt engineering is the simplest way to control them.
Think of it as the steering wheel for the LLM.
Small adjustments completely shift the direction of the output.
You’re not changing weights (the learned parameters inside the model). You’re changing instructions—and that changes everything.
It’s the fastest, lowest-effort way to get better results from any model.
Let’s explore three prompting techniques that significantly improve an LLM’s reasoning ability.